{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### __Author:__ Bram Van de Sande\n",
    "\n",
    "__Date:__ 1 MAY 2018\n",
    "\n",
    "__Outline:__ Tutorial on how to run the full SCENIC pipeline using the python implementation (i.e. pyscenic).\n",
    "\n",
    "For this notebook 3005 single cell transcriptomes taken from the mouse brain (somatosensory cortex and hippocampal regions) are used as an example.\n",
    "\n",
    "> A. Zeisel, A. B. M͡oz-Manchado, S. Codeluppi, P. Lönnerberg, G. L. Manno, A. Juréus, S. Marques, H. Munguba, L. He, C. Betsholtz, C. Rolny, G. Castelo-Branco, J. Hjerling-Leffler, and S. Linnarsson, “Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq,” Science, vol. 347, no. 6226, pp. 1138–1142, Mar. 2015."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os, glob\n",
    "import pickle\n",
    "\n",
    "from arboreto.utils import load_tf_names\n",
    "from arboreto.algo import grnboost2\n",
    "\n",
    "from pyscenic.rnkdb import FeatherRankingDatabase as RankingDatabase\n",
    "from pyscenic.utils import modules_from_adjacencies\n",
    "from pyscenic.prune import prune2df, df2regulons\n",
    "from pyscenic.aucell import aucell\n",
    "\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA_FOLDER=\"/Users/bramvandesande/Projects/lcb/tmp\"\n",
    "RESOURCES_FOLDER=\"/Users/bramvandesande/Projects/lcb/resources\"\n",
    "DATABASE_FOLDER = \"/Users/bramvandesande/Projects/lcb/databases/\"\n",
    "\n",
    "DATABASES_GLOB = os.path.join(DATABASE_FOLDER, \"mm9-*.mc9nr.feather\")\n",
    "MOTIF_ANNOTATIONS_FNAME = os.path.join(RESOURCES_FOLDER, \"motifs-v9-nr.mgi-m0.001-o0.0.tbl\")\n",
    "\n",
    "MM_TFS_FNAME = os.path.join(RESOURCES_FOLDER, 'mm_tfs.txt')\n",
    "SC_EXP_FNAME = os.path.join(RESOURCES_FOLDER, \"GSE60361_C1-3005-Expression.txt\")\n",
    "\n",
    "ADJACENCIES_FNAME = os.path.join(DATA_FOLDER, \"adjacencies.tsv\")\n",
    "MODULES_FNAME = os.path.join(DATA_FOLDER, \"modules.p\")\n",
    "MOTIFS_FNAME = os.path.join(DATA_FOLDER, \"motifs.csv\")\n",
    "REGULONS_FNAME = os.path.join(DATA_FOLDER, \"regulons.p\")\n",
    "\n",
    "N_SAMPLES = 500"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Preliminary work"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load the expression matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The scRNA-Seq data is downloaded from GEO: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE60361 ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_matrix = pd.read_csv(SC_EXP_FNAME, sep='\\t', header=0, index_col=0).T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remove duplicate genes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
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       "<p>5 rows × 19972 columns</p>\n",
       "</div>"
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      "text/plain": [
       "cell_id         Tspan12  Tshz1  Fnbp1l  Adamts15  Cldn12  Rxfp1  \\\n",
       "1772071015_C02        0      3       3         0       1      0   \n",
       "1772071017_G12        0      1       1         0       1      0   \n",
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       "\n",
       "cell_id         2310042E22Rik  Sema3c  Jam2  Apbb1ip      ...       \\\n",
       "1772071015_C02              0      11     1        0      ...        \n",
       "1772071017_G12              0       0     0        0      ...        \n",
       "1772071017_A05              2      25     1        0      ...        \n",
       "1772071014_B06              3       1     0        0      ...        \n",
       "1772067065_H06              0      10     0        0      ...        \n",
       "\n",
       "cell_id         Gm20826_loc1  Gm20826_loc2  Gm20877_loc2  Gm20877_loc1  \\\n",
       "1772071015_C02             0             0             0             0   \n",
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       "\n",
       "cell_id         Gm20865_loc4  Gm20738_loc4  Gm20738_loc6  Gm21943_loc1  \\\n",
       "1772071015_C02             0             0             0             0   \n",
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       "\n",
       "cell_id         Gm21943_loc3  Gm20738_loc3  \n",
       "1772071015_C02             0             0  \n",
       "1772071017_G12             0             0  \n",
       "1772071017_A05             0             0  \n",
       "1772071014_B06             0             0  \n",
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       "\n",
       "[5 rows x 19972 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ex_matrix.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3005, 19972)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ex_matrix.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Derive list of Transcription Factors(TF) for _Mus musculus_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "List of known TFs for Mm was prepared (cf. notebook)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "tf_names = load_tf_names(MM_TFS_FNAME)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load ranking databases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "db_fnames = glob.glob(DATABASES_GLOB)\n",
    "def name(fname):\n",
    "    return os.path.splitext(os.path.basename(fname))[0]\n",
    "dbs = [RankingDatabase(fname=fname, name=name(fname)) for fname in db_fnames]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[FeatherRankingDatabase(name=\"mm9-tss-centered-10kb-10species.mc9nr\"),\n",
       " FeatherRankingDatabase(name=\"mm9-500bp-upstream-7species.mc9nr\"),\n",
       " FeatherRankingDatabase(name=\"mm9-500bp-upstream-10species.mc9nr\"),\n",
       " FeatherRankingDatabase(name=\"mm9-tss-centered-5kb-10species.mc9nr\"),\n",
       " FeatherRankingDatabase(name=\"mm9-tss-centered-10kb-7species.mc9nr\"),\n",
       " FeatherRankingDatabase(name=\"mm9-tss-centered-5kb-7species.mc9nr\")]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dbs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Phase I: Inference of co-expression modules\n",
    "\n",
    "In the initial phase of the pySCENIC pipeline the single cell expression profiles are used to infer co-expression modules from."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run GRNboost from `arboreto` to infer co-expression modules\n",
    "\n",
    "The arboreto package is used for this phase of the pipeline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "preparing dask client\n",
      "parsing input\n",
      "creating dask graph\n",
      "computing dask graph\n",
      "shutting down client and local cluster\n",
      "finished\n"
     ]
    }
   ],
   "source": [
    "adjancencies = grnboost2(expression_data=ex_matrix, tf_names=tf_names, verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TF</th>\n",
       "      <th>target</th>\n",
       "      <th>importance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>Tcf7l2</td>\n",
       "      <td>Nfasc</td>\n",
       "      <td>60.207182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>Olig1</td>\n",
       "      <td>Mbp</td>\n",
       "      <td>60.016574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>Tcf7l2</td>\n",
       "      <td>Itpr2</td>\n",
       "      <td>59.006877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Rpl7</td>\n",
       "      <td>Gm9846</td>\n",
       "      <td>58.076907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>Neurod6</td>\n",
       "      <td>Hpca</td>\n",
       "      <td>58.076307</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          TF  target  importance\n",
       "157   Tcf7l2   Nfasc   60.207182\n",
       "172    Olig1     Mbp   60.016574\n",
       "157   Tcf7l2   Itpr2   59.006877\n",
       "35      Rpl7  Gm9846   58.076907\n",
       "155  Neurod6    Hpca   58.076307"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adjancencies.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "adjacencies.to_csv(ADJACENCIES_FNAME, index=False, sep='\\t')\n",
    "#adjacencies = pd.read_csv(ADJACENCIES_FNAME, sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Derive potential regulomes from these co-expression modules\n",
    "\n",
    "Regulons are derived from adjacencies based on three methods.\n",
    "\n",
    "The first method to create the TF-modules is to select the best targets for each transcription factor:\n",
    "\n",
    "1. Targets with importance > the 50th percentile.\n",
    "2. Targets with importance > the 75th percentile\n",
    "3. Targets with importance > the 90th percentile.\n",
    "\n",
    "The second method is to select the top targets for a given TF:\n",
    "\n",
    "1. Top 50 targets (targets with highest weight)\n",
    "\n",
    "The alternative way to create the TF-modules is to select the best regulators for each gene (this is actually how GENIE3 internally works). Then, these targets can be assigned back to each TF to form the TF-modules. In this way we will create three more gene-sets:\n",
    "\n",
    "1. Targets for which the TF is within its top 5 regulators\n",
    "2. Targets for which the TF is within its top 10 regulators\n",
    "3. Targets for which the TF is within its top 50 regulators\n",
    "\n",
    "A distinction is made between modules which contain targets that are being activated and genes that are being repressed. Relationship between TF and its target, i.e. activator or repressor, is derived using the original expression profiles. The Pearson product-moment correlation coefficient is used to derive this information.\n",
    "\n",
    "In addition, the transcription factor is added to the module and modules that have less than 20 genes are removed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "modules = list(modules_from_adjacencies(adjacencies, ex_matrix))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(MODULES_FNAME, 'wb') as f:\n",
    "    pickle.dump(modules, f)\n",
    "\n",
    "#with open(MODULES_FNAME, 'rb') as f:\n",
    "#    modules = pickle.load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Phase II: Prune modules for targets with cis regulatory footprints (aka RcisTarget)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using 8 workers.\n",
      "2018-03-07 13:10:30.850754 - Worker mm9-tss-centered-10kb-10species.mc9nr(2): database loaded in memory.\n",
      "2018-03-07 13:10:31.182540 - Worker mm9-tss-centered-10kb-10species.mc9nr(4): database loaded in memory.\n",
      "2018-03-07 13:10:31.247187 - Worker mm9-tss-centered-10kb-10species.mc9nr(1): database loaded in memory.\n",
      "2018-03-07 13:10:31.245944 - Worker mm9-tss-centered-10kb-10species.mc9nr(3): database loaded in memory.\n",
      "2018-03-07 13:10:33.713656 - Worker mm9-tss-centered-10kb-10species.mc9nr(2): motif annotations loaded in memory.\n",
      "2018-03-07 13:10:33.714281 - Worker mm9-tss-centered-10kb-10species.mc9nr(1): motif annotations loaded in memory.\n",
      "2018-03-07 13:10:33.715242 - Worker mm9-tss-centered-10kb-10species.mc9nr(3): motif annotations loaded in memory.\n",
      "2018-03-07 13:10:33.716182 - Worker mm9-tss-centered-10kb-10species.mc9nr(4): motif annotations loaded in memory.\n",
      "2018-03-07 13:10:34.963628 - Worker mm9-500bp-upstream-7species.mc9nr(4): database loaded in memory.\n",
      "2018-03-07 13:10:35.256590 - Worker mm9-500bp-upstream-7species.mc9nr(2): database loaded in memory.\n",
      "2018-03-07 13:10:35.277439 - Worker mm9-500bp-upstream-7species.mc9nr(3): database loaded in memory.\n",
      "2018-03-07 13:10:35.319402 - Worker mm9-500bp-upstream-7species.mc9nr(1): database loaded in memory.\n",
      "2018-03-07 13:10:37.182278 - Worker mm9-500bp-upstream-7species.mc9nr(4): motif annotations loaded in memory.\n",
      "2018-03-07 13:10:37.509564 - Worker mm9-500bp-upstream-7species.mc9nr(2): motif annotations loaded in memory.\n",
      "2018-03-07 13:10:37.560777 - Worker mm9-500bp-upstream-7species.mc9nr(1): motif annotations loaded in memory.\n",
      "2018-03-07 13:10:37.614982 - Worker mm9-500bp-upstream-7species.mc9nr(3): motif annotations loaded in memory.\n",
      "Less than 80% of the genes in Regulome for Prop1 could be mapped to mm9-tss-centered-10kb-10species.mc9nr. Skipping this module.\n",
      "Less than 80% of the genes in Regulome for Prop1 could be mapped to mm9-500bp-upstream-7species.mc9nr. Skipping this module.\n",
      "Less than 80% of the genes in Regulome for Nkx2-1 could be mapped to mm9-500bp-upstream-7species.mc9nr. Skipping this module.\n",
      "Less than 80% of the genes in Regulome for Nkx2-1 could be mapped to mm9-tss-centered-10kb-10species.mc9nr. Skipping this module.\n",
      "2018-03-07 13:13:45.633160 - Worker mm9-500bp-upstream-7species.mc9nr(4): All regulomes derived.\n",
      "Less than 80% of the genes in Regulome for Mef2b could be mapped to mm9-500bp-upstream-7species.mc9nr. Skipping this module.\n",
      "2018-03-07 13:14:49.494471 - Worker mm9-500bp-upstream-7species.mc9nr(3): All regulomes derived.\n",
      "2018-03-07 13:15:03.692429 - Worker mm9-tss-centered-10kb-10species.mc9nr(3): All regulomes derived.\n",
      "2018-03-07 13:15:07.326386 - Worker mm9-500bp-upstream-7species.mc9nr(1): All regulomes derived.\n",
      "Less than 80% of the genes in Regulome for Mef2b could be mapped to mm9-tss-centered-10kb-10species.mc9nr. Skipping this module.\n",
      "2018-03-07 13:15:38.100334 - Worker mm9-tss-centered-10kb-10species.mc9nr(4): All regulomes derived.\n",
      "Less than 80% of the genes in Regulome for Hoxc10 could be mapped to mm9-500bp-upstream-7species.mc9nr. Skipping this module.\n",
      "Less than 80% of the genes in Regulome for Rfx2 could be mapped to mm9-500bp-upstream-7species.mc9nr. Skipping this module.\n",
      "2018-03-07 13:16:27.496073 - Worker mm9-500bp-upstream-7species.mc9nr(2): All regulomes derived.\n",
      "2018-03-07 13:16:37.285423 - Worker mm9-tss-centered-10kb-10species.mc9nr(1): All regulomes derived.\n",
      "2018-03-07 13:16:37.962311 - Worker mm9-tss-centered-10kb-10species.mc9nr(1): Done.\n",
      "Less than 80% of the genes in Regulome for Hoxc10 could be mapped to mm9-tss-centered-10kb-10species.mc9nr. Skipping this module.\n",
      "Less than 80% of the genes in Regulome for Rfx2 could be mapped to mm9-tss-centered-10kb-10species.mc9nr. Skipping this module.\n",
      "2018-03-07 13:18:08.783129 - Worker mm9-tss-centered-10kb-10species.mc9nr(2): All regulomes derived.\n",
      "2018-03-07 13:18:11.457077 - Worker mm9-tss-centered-10kb-10species.mc9nr(2): Done.\n",
      "2018-03-07 13:18:11.730335 - Worker mm9-tss-centered-10kb-10species.mc9nr(3): Done.\n",
      "2018-03-07 13:18:11.785693 - Worker mm9-tss-centered-10kb-10species.mc9nr(4): Done.\n",
      "2018-03-07 13:18:11.837607 - Worker mm9-500bp-upstream-7species.mc9nr(1): Done.\n",
      "2018-03-07 13:18:11.881192 - Worker mm9-500bp-upstream-7species.mc9nr(2): Done.\n",
      "2018-03-07 13:18:11.994204 - Worker mm9-500bp-upstream-7species.mc9nr(3): Done.\n",
      "2018-03-07 13:18:12.043477 - Worker mm9-500bp-upstream-7species.mc9nr(4): Done.\n"
     ]
    }
   ],
   "source": [
    "df = prune2df(dbs, modules, MOTIF_ANNOTATIONS_FNAME)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">Enrichment</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>AUC</th>\n",
       "      <th>NES</th>\n",
       "      <th>MotifSimilarityQvalue</th>\n",
       "      <th>OrthologousIdentity</th>\n",
       "      <th>Annotation</th>\n",
       "      <th>Context</th>\n",
       "      <th>TargetGenes</th>\n",
       "      <th>RankAtMax</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TF</th>\n",
       "      <th>MotifID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Kdm5a</th>\n",
       "      <th>cisbp__M4603</th>\n",
       "      <td>0.035354</td>\n",
       "      <td>3.062696</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.966864</td>\n",
       "      <td>gene is orthologous to ENSG00000073614 in H. s...</td>\n",
       "      <td>(mm9-tss-centered-10kb-10species.mc9nr, weight&gt;0.001...</td>\n",
       "      <td>[(Yy1, 1.0), (Bscl2, 1.0), (Tra2b, 1.0), (Cxxc...</td>\n",
       "      <td>764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbcorrdb__NR2C2__ENCSR000EVS_1__m1</th>\n",
       "      <td>0.038906</td>\n",
       "      <td>4.577160</td>\n",
       "      <td>0.000941</td>\n",
       "      <td>0.966864</td>\n",
       "      <td>motif similar to dbcorrdb__KDM5A__ENCSR000AQL_...</td>\n",
       "      <td>(mm9-tss-centered-10kb-10species.mc9nr, weight&gt;0.001...</td>\n",
       "      <td>[(Larp4, 1.0), (Zfp384, 1.0), (Psma6, 1.0), (Z...</td>\n",
       "      <td>1348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cisbp__M4568</th>\n",
       "      <td>0.042070</td>\n",
       "      <td>5.925836</td>\n",
       "      <td>0.000324</td>\n",
       "      <td>0.966864</td>\n",
       "      <td>motif similar to dbcorrdb__KDM5A__ENCSR000AQL_...</td>\n",
       "      <td>(mm9-tss-centered-10kb-10species.mc9nr, weight&gt;0.001...</td>\n",
       "      <td>[(Zfp384, 1.0), (Psmd13, 1.0), (Fam188a, 1.0),...</td>\n",
       "      <td>1456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbcorrdb__SIN3A__ENCSR000BGL_1__m1</th>\n",
       "      <td>0.040095</td>\n",
       "      <td>5.084047</td>\n",
       "      <td>0.000314</td>\n",
       "      <td>0.966864</td>\n",
       "      <td>motif similar to dbcorrdb__KDM5A__ENCSR000AQL_...</td>\n",
       "      <td>(mm9-tss-centered-10kb-10species.mc9nr, weight&gt;0.001...</td>\n",
       "      <td>[(Zfp384, 1.0), (Egr1, 1.0), (Vps52, 1.0), (Tr...</td>\n",
       "      <td>1499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbcorrdb__NR2C2__ENCSR000EVN_1__m1</th>\n",
       "      <td>0.036591</td>\n",
       "      <td>3.589996</td>\n",
       "      <td>0.000637</td>\n",
       "      <td>0.966864</td>\n",
       "      <td>motif similar to dbcorrdb__KDM5A__ENCSR000AQL_...</td>\n",
       "      <td>(mm9-tss-centered-10kb-10species.mc9nr, weight&gt;0.001...</td>\n",
       "      <td>[(Larp4, 1.0), (Gas5, 1.0), (Psma6, 1.0), (Zfp...</td>\n",
       "      <td>877</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Enrichment            \\\n",
       "                                                AUC       NES   \n",
       "TF    MotifID                                                   \n",
       "Kdm5a cisbp__M4603                         0.035354  3.062696   \n",
       "      dbcorrdb__NR2C2__ENCSR000EVS_1__m1   0.038906  4.577160   \n",
       "      cisbp__M4568                         0.042070  5.925836   \n",
       "      dbcorrdb__SIN3A__ENCSR000BGL_1__m1   0.040095  5.084047   \n",
       "      dbcorrdb__NR2C2__ENCSR000EVN_1__m1   0.036591  3.589996   \n",
       "\n",
       "                                                                \\\n",
       "                                         MotifSimilarityQvalue   \n",
       "TF    MotifID                                                    \n",
       "Kdm5a cisbp__M4603                                    0.000000   \n",
       "      dbcorrdb__NR2C2__ENCSR000EVS_1__m1              0.000941   \n",
       "      cisbp__M4568                                    0.000324   \n",
       "      dbcorrdb__SIN3A__ENCSR000BGL_1__m1              0.000314   \n",
       "      dbcorrdb__NR2C2__ENCSR000EVN_1__m1              0.000637   \n",
       "\n",
       "                                                              \\\n",
       "                                         OrthologousIdentity   \n",
       "TF    MotifID                                                  \n",
       "Kdm5a cisbp__M4603                                  0.966864   \n",
       "      dbcorrdb__NR2C2__ENCSR000EVS_1__m1            0.966864   \n",
       "      cisbp__M4568                                  0.966864   \n",
       "      dbcorrdb__SIN3A__ENCSR000BGL_1__m1            0.966864   \n",
       "      dbcorrdb__NR2C2__ENCSR000EVN_1__m1            0.966864   \n",
       "\n",
       "                                                                                             \\\n",
       "                                                                                 Annotation   \n",
       "TF    MotifID                                                                                 \n",
       "Kdm5a cisbp__M4603                        gene is orthologous to ENSG00000073614 in H. s...   \n",
       "      dbcorrdb__NR2C2__ENCSR000EVS_1__m1  motif similar to dbcorrdb__KDM5A__ENCSR000AQL_...   \n",
       "      cisbp__M4568                        motif similar to dbcorrdb__KDM5A__ENCSR000AQL_...   \n",
       "      dbcorrdb__SIN3A__ENCSR000BGL_1__m1  motif similar to dbcorrdb__KDM5A__ENCSR000AQL_...   \n",
       "      dbcorrdb__NR2C2__ENCSR000EVN_1__m1  motif similar to dbcorrdb__KDM5A__ENCSR000AQL_...   \n",
       "\n",
       "                                                                                             \\\n",
       "                                                                                    Context   \n",
       "TF    MotifID                                                                                 \n",
       "Kdm5a cisbp__M4603                        (mm9-tss-centered-10kb-10species.mc9nr, weight>0.001...   \n",
       "      dbcorrdb__NR2C2__ENCSR000EVS_1__m1  (mm9-tss-centered-10kb-10species.mc9nr, weight>0.001...   \n",
       "      cisbp__M4568                        (mm9-tss-centered-10kb-10species.mc9nr, weight>0.001...   \n",
       "      dbcorrdb__SIN3A__ENCSR000BGL_1__m1  (mm9-tss-centered-10kb-10species.mc9nr, weight>0.001...   \n",
       "      dbcorrdb__NR2C2__ENCSR000EVN_1__m1  (mm9-tss-centered-10kb-10species.mc9nr, weight>0.001...   \n",
       "\n",
       "                                                                                             \\\n",
       "                                                                                TargetGenes   \n",
       "TF    MotifID                                                                                 \n",
       "Kdm5a cisbp__M4603                        [(Yy1, 1.0), (Bscl2, 1.0), (Tra2b, 1.0), (Cxxc...   \n",
       "      dbcorrdb__NR2C2__ENCSR000EVS_1__m1  [(Larp4, 1.0), (Zfp384, 1.0), (Psma6, 1.0), (Z...   \n",
       "      cisbp__M4568                        [(Zfp384, 1.0), (Psmd13, 1.0), (Fam188a, 1.0),...   \n",
       "      dbcorrdb__SIN3A__ENCSR000BGL_1__m1  [(Zfp384, 1.0), (Egr1, 1.0), (Vps52, 1.0), (Tr...   \n",
       "      dbcorrdb__NR2C2__ENCSR000EVN_1__m1  [(Larp4, 1.0), (Gas5, 1.0), (Psma6, 1.0), (Zfp...   \n",
       "\n",
       "                                                    \n",
       "                                         RankAtMax  \n",
       "TF    MotifID                                       \n",
       "Kdm5a cisbp__M4603                             764  \n",
       "      dbcorrdb__NR2C2__ENCSR000EVS_1__m1      1348  \n",
       "      cisbp__M4568                            1456  \n",
       "      dbcorrdb__SIN3A__ENCSR000BGL_1__m1      1499  \n",
       "      dbcorrdb__NR2C2__ENCSR000EVN_1__m1       877  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(MOTIFS_FNAME)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This dataframe can then be converted to regulons."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "regulons = df2regulons(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(REGULONS_FNAME, 'wb') as f:\n",
    "    pickle.dump(regulons, f)\n",
    "\n",
    "#with open(REGULONS_FNAME, 'rb') as f:\n",
    "#    regulons = pickle.load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Phase III: Cellular regulon enrichment matrix (aka AUCell)\n",
    "\n",
    "Characterize the different cells in a single-cell transcriptomics experiment by the enrichment of the regulons. Enrichment of a regulon is measures as AUC of the recovery curve of the genes that define this regulon."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "auc_mtx = aucell(ex_matrix, regulons, num_workers=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.matrix.ClusterGrid at 0x1030e75c0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1030e76a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.clustermap(auc_mtx, figsize=(12,12))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.6.4 (pyscenic_dev)",
   "language": "python",
   "name": "pyscenic_dev"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
